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迈向多点超声神经刺激:模式生成算法。

Towards multifocal ultrasonic neural stimulation: pattern generation algorithms.

机构信息

InSightec LTD, Tirat Carmel, Israel.

出版信息

J Neural Eng. 2010 Oct;7(5):056002. doi: 10.1088/1741-2560/7/5/056002. Epub 2010 Aug 18.

Abstract

Focused ultrasound (FUS) waves directed onto neural structures have been shown to dynamically modulate neural activity and excitability, opening up a range of possible systems and applications where the non-invasiveness, safety, mm-range resolution and other characteristics of FUS are advantageous. As in other neuro-stimulation and modulation modalities, the highly distributed and parallel nature of neural systems and neural information processing call for the development of appropriately patterned stimulation strategies which could simultaneously address multiple sites in flexible patterns. Here, we study the generation of sparse multi-focal ultrasonic distributions using phase-only modulation in ultrasonic phased arrays. We analyse the relative performance of an existing algorithm for generating multifocal ultrasonic distributions and new algorithms that we adapt from the field of optical digital holography, and find that generally the weighted Gerchberg-Saxton algorithm leads to overall superior efficiency and uniformity in the focal spots, without significantly increasing the computational burden. By combining phased-array FUS and magnetic-resonance thermometry we experimentally demonstrate the simultaneous generation of tightly focused multifocal distributions in a tissue phantom, a first step towards patterned FUS neuro-modulation systems and devices.

摘要

聚焦超声(FUS)波定向到神经结构已被证明可以动态调节神经活动和兴奋性,为一系列可能的系统和应用开辟了道路,这些系统和应用具有 FUS 的非侵入性、安全性、毫米级分辨率和其他优势。与其他神经刺激和调节方式一样,神经系统和神经信息处理的高度分布式和并行性质要求开发适当的模式化刺激策略,以便能够以灵活的模式同时解决多个部位的问题。在这里,我们研究了使用超声相控阵中的纯相位调制来产生稀疏多焦点超声分布。我们分析了用于生成多焦点超声分布的现有算法和我们从光学数字全息领域改编的新算法的相对性能,发现加权的 Gerchberg-Saxton 算法通常可以在不显著增加计算负担的情况下,在焦点处实现更高的效率和均匀性。通过结合相控阵 FUS 和磁共振测温,我们在组织模型中实验性地证明了紧密聚焦多焦点分布的同时产生,这是实现模式化 FUS 神经调节系统和设备的第一步。

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